Iso2mesh is a free, powerful, yet easy-to-use 3D mesh generator for Matlab and GNU/Octave. It is particularly suitable for creating high-quality surface and tetrahedral meshes from 3D medical imaging data, including binary, segmented or gray-scale volumetric images. Iso2mesh is cross-platform, quantitative, versatile, and fully optimized for better speed and low-memory requirement.
Iso2mesh toolbox contains over 130 modular Matlab functions, covering 3D volumetric image pre-processing (hole-filling, thinning and thickening), surface mesh modeling (extraction, remeshing, repairing, and smoothing), volumetric mesh creation, plotting and import/export for a range of mesh file formats. For some of the core functions, iso2mesh calls the self-contained meshing utilities built upon CGAL and tetgen to perform Delaunay tetrahedralization, a process known for producing high-quality, self-intersection-free surfaces and volumetric meshes.
Iso2mesh 2017 is a maintenance release towards the next generation iso2mesh, i.e. the "2.0" milestone. Compared to the previous stable release (v1.7.9), a number of key features were refined, particularly, the surface boolean operations. It also gains 6 new functions and a list of bug fixes.
Compared to the version 1.7.9 released in Sep. 2015, the v1.8 release gained the following features:
To install the iso2mesh version 1.7.9, you need
To use fillhole3d or run some of the demo scripts, you need to install the image processing toolbox for Matlab or octave-image toolbox for Octave.
We deeply appreciate the contribution from the CGAL team, which has done a marvelous work for developing state-of-the-art image-based mesh generation utilities. We also want to thank Hang Si for his great work for writing tetgen, which is heavily involved in iso2mesh's meshing work-flow. Thanks also goes to Marco Attene, Mirko Windhoff, and Axel Thielscher for developing the "meshfix" utility, and to Gilbert Bernstein for his surface boolean utility Cork.
For those of you who has used iso2mesh in your work, the author of this toolbox appreciates if you can cite the following paper in your publication, this will help tremendously for the future development of this software:
Qianqian Fang and David Boas, "Tetrahedral mesh generation from volumetric binary and gray-scale images," Proceedings of IEEE International Symposium on Biomedical Imaging 2009, pp. 1142-1145, 2009